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Cited by 381

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

IMG/M: a data management and analysis system for metagenomes

Open access
Markowitz, V. M., Ivanova, N. N., Szeto, E., Palaniappan, K., Chu, K., Dalevi, D., Chen, I-M. A., Grechkin, Y., Dubchak, I., Anderson, I., Lykidis, A., Mavromatis, K., Hugenholtz, P., Kyrpides, N. C.·2007·Nucleic Acids Research

Abstract

IMG/M is a data management and analysis system for microbial community genomes (metagenomes) hosted at the Department of Energy's (DOE) Joint Genome Institute (JGI). IMG/M consists of metagenome data integrated with isolate microbial genomes from the Integrated Microbial Genomes (IMG) system. IMG/M provides IMG's comparative data analysis tools extended to handle metagenome data, together with metagenome-specific analysis tools. IMG/M is available at http://img.jgi.doe.gov/m.

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Crossref · 10.1093/nar/gkm869

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Metadata

Authors
Markowitz, V. M., Ivanova, N. N., Szeto, E., Palaniappan, K., Chu, K., Dalevi, D., Chen, I.-M. A., Grechkin, Y., Dubchak, I., Anderson, I., Lykidis, A., Mavromatis, K., Hugenholtz, P., & Kyrpides, N. C.
Venue
Nucleic Acids Research
Published
2007-12-23
Volume
36
Issue
Database
Pages
D534-D538
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2156296225
Cited by
381
References
2
FWCI
9.46
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: IMG/M: a data management and analysis system for metagenomes. https://app.cochat.ai/papers/10.1093/nar/gkm869
The paper
Markowitz, V. M., Ivanova, N. N., Szeto, E., Palaniappan, K., Chu, K., Dalevi, D., Chen, I.-M. A., Grechkin, Y., Dubchak, I., Anderson, I., Lykidis, A., Mavromatis, K., Hugenholtz, P., & Kyrpides, N. C. (2007). IMG/M: a data management and analysis system for metagenomes. Nucleic Acids Research. https://doi.org/10.1093/nar/gkm869

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.